基于实例的分布式数据库中的数据分配方法研究

在分布式数据库设计中数据分配的问题对整个系统的改进数据的可用性、提高DDB的效率和可靠性有很大影响，本文主要通过实例讨论数据分配的原则，分别对非冗余分配、冗余分配、静态启发式分配等数据分配方法采用量化的方法来进行研究，并对动态分配也做了一些比较分配，在研究过程中，把分布式检索和更新处理问题结合起来考虑，以获得减少通信代价、减少检索代价及更新代价的最优解决方案，从而明确得出全局关系划分后的逻辑片段应该置放的最佳场地。

Research on Data Allocation in the Distributed Database Based on Instances

Well-designed data allocating contributes greatly to data usability, improving efficiency and reliability of DDB. In this paper, we discuss the principles of data allocating by instances, and research data allocation such as non-redundance allocating, redundance allocating, static and heuristic allocating by quantitive method. Also, there are some comparative analyses of dynamic allocating. During research process, considering distributed search and updating problem, we achieves optimum settlement by reducing cost of transportation, search and updating. Thus, we define the best place of logic segments after divided from global relation.